I have broad research interests within computer vision, optimisation, machine learning, and robotics, with particular expertise in 3D vision and optimisation for deep learning. I have investigated problems of geometric sensor data alignment (including camera localisation, simultaneous localisation and mapping, structure from motion, and optical flow), 3D representations (including neural radiance fields), and differentiable optimisation layers (inserting constrained optimisation problems into deep learning systems). Current topics of interest include discovering and exploiting symmetries in data to share information across long-range physically-motivated connections, and optimisation in deep learning for training neural networks efficiently with respect to time and the quantity of data.

I am a Lecturer in Computing at the Australian National University (ANU). Previously, I was a Research Fellow of the Visual Geometry Group at the University of Oxford, where I was supervised by Andrea Vedaldi and João Henriques. Prior to that, I was a Research Fellow of the Australian Centre for Robotic Vision at ANU, where I was supervised by Stephen Gould. I was awarded a PhD degree from ANU in 2018, conducting research on geometric vision problems at Data61/CSIRO and NICTA under the supervision of Lars Petersson, Laurent Kneip, and Hongdong Li, and received a BE in Mechatronic Engineering (Hons) from the University of New South Wales in 2012.